{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# k-Nearest Neighbor (kNN) exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "The kNN classifier consists of two stages:\n",
    "\n",
    "- During training, the classifier takes the training data and simply remembers it\n",
    "- During testing, kNN classifies every test image by comparing to all training images and transfering the labels of the k most similar training examples\n",
    "- The value of k is cross-validated\n",
    "\n",
    "In this exercise you will implement these steps and understand the basic Image Classification pipeline, cross-validation, and gain proficiency in writing efficient, vectorized code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Run some setup code for this notebook.\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from __future__ import print_function\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the notebook\n",
    "# rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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L1eProgSuTRgl/3uD51zraDd0gHVdF9/3XneP5wcElbren5Bnck+WZziR5qlw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\nX0sJY6jtB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9jo7mySYVLQ9UzLKaYHnFbPc3SZbLm80UezSzCD64fIub6QgwouV2MXUPak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c41QyxfpmvqoYvgMfbF06a1tm156qnLVt4jqDXx6quUo3R/YwPb27T2Hxwc28NnFk9zex/c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SeSjYR8xa4xa1h8JUfWasdS+XkXB+BdokGB6RbHD35h7uXiH/rWKcwHA7pJAuGWNY+DjD\nWvYzGycQsVQXeBatoIz2CrHMIWGLbaDL4fjtuTlIfnEGaYrOEiVWlb5CNqVF6d72IU6cmN3QCAJV\nk6MrvwWTFy6i0FrrZizPV1A8ZiXgsvvm21NE5fjVBpaNFE95LiGnlBKZrMa4V1qY93aQHnJEWJqh\nyxFzobUQOS9eoyk4TyQyKZBtzV4PbL4bQSds1HRa2Nqia/Xm2xCcnLPjS+ScQfpoNMZSj7O83x0h\nAX2v2j72PDKQt+4eIOFU892FNo5KI1cJQHP05aRAu0ffi2mGqENj9mCcYMg12/zYR8L6biItuhFH\n5I0nWGrPHs2XJQWSMl0BLLpdlkSVALjaAWXY4GuJLoxPD1ibsXvP8kI7/zg/9DEp02OMD+Bt3QQA\njKdDRLwhWWwHGAzpGQlIKH5h7m7eQp7QZ98PnH9nu93DEYd++0UOTGdLUxIGMbo9MjqnwxEuvfEe\nAODCk0/gibMkM7YDH4YjU/u7R7hxl55Vb20B3R715elkFYN9auudG1tYnKP5dLF7FrfZ9zIMlVuQ\nvbiNd79DKRk2NtZh2dhJja78GsdTl+W/3Qpx8zr1U6sXI0tmT2+RJhqaz6knU+ScLkapAEOWf/f2\nDp1RoHwP+1vka3Pnzj7mOUlqOhnjLS64PrcwDw4CgzHG1bekuZQ31Eq5Opn7+/uIOQN6FMXo9Xr8\n2cPpcx8BAGxeP8C9TYqsPDoc4hH230A967mFC78TxyLJhKsVKaWALJNe1qMXxXEjp5ybxTH/JlEZ\nREBVzNvWDDYBSFm9N8ZNYVktiZEA7OwGYxj7uHPtfZQXC3jO7s51sbRUjpM2Ap4zLj49j//pN/4H\nAMCd7S2MOJGt53k4d/YsAGB9bRkdJk98X1brt6naa6AhyrVcVLKpRc1DBZKtc650aMpJXrtKKLOg\nkfkaNGjQoEGDBg0eAx8qM5WNhzC6tIQlrKnyeLioAlk5xgqJWoX5yqqcTIZgFhsvvfwiOuxUPZxm\nLsEbnaJkeSoHszDwq1InMM4Jvua7x9TmI20tHPIcznHRGsDy7kJ6ASKuhfX8Cyv4GLfLWAPLESfG\nGMfSZcnE7cisreQ8SM9FRFpUXoZWapdXi9JM1nQkq935c2ag8lwjS4kVKPLCOd09DFabqvKPMY4q\nlVa65+N7Eqc2SP6Y7KYoDjmfFA5wVEbDCYU45LI7UYiYwwxTnbqdQdiKYblcm4wVDMtDIohhFO1g\nssICWcnaAZOyArzwoMsK5H6AbDr7DkNYONdPbY0bm55UkKXDppQQPAgFhKOJBWypRECitiPUxtWc\nhIBzdBUCVUSmEC4PVzaeQKScuBICfkmUWuvYTmvqu0kBczCYuY1Lix3sbBMDMpVjnHqSpKv9rSHG\nfWYs2xYtDqaY5gLDIzq+HQYumeDe1hEylsC0tJAs1yZTDcVMTRgqrK3T7tMkmcup1IkDJJxEFj6w\nskLvsedJhFxX0UiJzX2Sz0ShsTo/OzM13N5x+YGkkvBr0ouZlnMPoMsdtpWQvIudFxZeGQ3c9tEO\nuL5e5AEpjaXQCkw2KZdSmk4Q8DNd1gad8nU1Gl5Zjmg8wOjoh/TbOMJ6OTe0DNJ9YhWLJIXMZyth\ncXQ0QmeBLtTOQ3g57dIDqzAekKTZWVnByXWSuDOTI+QI3vn5OScRzkU+rt6hun46tRjtcY49JdAK\nWXZptbF/QKxW3OlijiUbPR1hcY6e7X5/jKBFz3Bpfh5gZqcVBuhP6PNkOMLGyYeX5SqxtbXlJCvf\nD2D4vdzcvOuCGlpxC3MsD8UtD29+868BANfev4Jz5y8CAIrJCK/9FZV7CdsLrgyTMaYq3yKrxJ5S\nCCf5jkZjROzQ73keWhz00em2EHL5p7mlNvb26XnuH+xiNGbXE2ZdfhwEKsduWVXiAoR1tUCtNc69\nw9QWK2MrVosyMZbzU60en61cQ0j9qCJiq1m/SrRsrYYVzNAKDW3ovU91H9pwgJfwIDBbPVcAePM7\nf4PVk7QmrJ1YRcQMsx+GiFlu9v3AzYVh5OHJi5Rv8MLF1WOyY8i5zCB8pyAAppZL2lYlRMZ0TgAA\nIABJREFU6eo3YSvXjGMRkdZClGqPzlEmJLNF8Uhy5oebGiFVUKocrBKlyF/Xd33fh8cD2lpRK06q\n3UAZDUfosQHVarXQZx+VTFMYK8DUHSrDquxcYlGriAf9QO25ehiPGgIKq5wPlJXS1fsT1jpaNElS\nWPCEBVFL+SCqyEERQ5ahbNa6QFtjJQpdyXxOA7aikiylQjmM6HRc7BXGTUbG5i4bvYZw3z8U2lYD\nWKAKGbGyOofInc6u9QQc+IXFhQVX62iSpy75nWc0fHe8hmapyA9CKKabi0I73xbleVV0DeCkw6zI\nIblQpi8kFC/IYcvH7vb+bO0DIA2cpOHX6g9aY2u1u6qkgcZU6TOslDC66p8qS7N3rIfrPhDSvfjW\n2cA+JF0bpaTIkq8EChdFWGUxl1K6NAyzYPHEMgYDWsDjtu8i2qZZjpwn3v4oR8TPon1yAaunSKae\nThL0D0aufzos/6WRxYijUVOdIObktWZsoTlzuYpj9PkYOxxB8nwQtRUCNn611Qh46E+KvErQG/i4\nwdLnLBBJgqAsOu0rRJx9PPCrRYDSs5RjL0fB41MJgxNtHm9Sus1VUeTQpZ/X8Mglgoy1du+9KYyL\nBrW28ksJLZxRnA8H7plGHekSuxfFff4uP7aBwMWzFBVV7B3BBxkUzz3/FN55920AwKjVhh/Q4jPN\nE3i8YBb9DMkOJ1jtF5jnMPGPfPx5BCyn37h2G4M+Gejz2120WnTMDy+9j07MG9jBAVpzdPyTT57B\nERtoGRQSljoLa7C4QGNnfqmFaTG7zHfqVOXrKIRwFR+6nQghb8biOHYFkJN0CGlpDnji3AYkJ5q9\nvbOFT79IrhXPv/QJZJxkdzIZ44jrvk2mifN39TzlIvXmF7s4OChrw42RpOTCsLWjsdij9na8Pcwv\n0/P/zBdeQLs3W31FAFB+6tYbKUXlcysAK8oaofW5R8CY0j9V12rxWrdxthKwbDTZ2nwmrIRkiVsI\n5eRuAc/Nr8bmSFNq1zQfIDO0vqb5ITT7mknhP5Ix9eSTFxFy/dK41YbP76AnlYuKNsa4SHhyu2Hp\nVoVQ9ZO5lA9wsjKsri1LlcvOMdTmY2NM5XdmCjKiAJg8d1F+Vld+1LOgkfkaNGjQoEGDBg0eAx8q\nM+X7XedZT57dZBmOxyP4vINcXlpCwg6TaZo6x2tKfc/HT8ZUygHAcDh0u/zAl0CNFi1pTlnLUVV3\nKK/n5aijzkY9KjOltXa7J53nLiJEGFtFigjhrqqtqSVRkzXGQtZkx9q9AcfyTFVUpXBV5Gg3XCW7\nLE9UaO3K59Tv01hblTB4CCR05YRo4fI9ccP4+saxLVYXSJkuD1SEFidTywe69PmD0do52xe5QMQ5\nYEySw5TMFCxMWuZsqsqZeIEHUyYltYUb0FSzinf+yBF5swcRKKlccISsPxNVsZrESlWUcckQGYhj\nI6rmrunOY4xxAQ66Vq5IKeWem5TVdaWUjpkkur/MDSOrZwjr8tzMgr3NoWPQJoc59ndp92kCAXA9\nRKEFfI5o08JiytG3JtAI2xz40PLgiTLoQ6PDQQVWKBd5ZX0Pij1++4cjyHnOIRUJ9NrELvSkQjGh\n41OrXRmh/tHY5T8MW4GTqWfBqdUFxOzQ2olbrko8jMZ0TDvvNJ2g4Cr0uc4wzVxtHJe0sbAWuQsG\nges3enalpF8rwWEBtzW2qI6pyQz12qRFYZGzy0NuBDwxWxu7cQsfe5ZyP9169x28+TpFPJ1cX8Yr\nH/sYAOBwPMGte5Rnan6uixMrlO9pcNRHfkjte/mZ53HtCjmIiyJ1ktaZ06ewHRB7OZ2OEXAE53g8\nQczRfypsoSgjtHWG/T71697eECdZzgtE7iI1W+0Ohv3xTO0DSPop+zXPqzyF7XbbsRJGaye/+yrA\nT33piwCA/b09fO0vvw4AWDl5Ep98mfrkhRcvujpxWmskZcBIkbu5Ngj8Kgmx9LC3R4zoaDzBiBm3\nze0dhAE5nRfTEU6unwMAnH9yHV4ZqTILvG1XoasekGRF4eQ21NgWIyvGCrZwfuDWVOoNYFG4EEQF\n49SPKmJRwIPgEmSwyo1IC4OkoPlgnO5CyxHfzxRlUjkLD9bMbj5EUQu+5Nx0hYXleR1KVeXjrHWu\nLcZaJ7mK2rtC7j78d2Gcc7mQ9XWykj6FNah9fXy556g9mMwxU7BVEIW1lpSYGfGhGlOwstJ071vb\nSgNhMBy6EFNYUyUTFFUUQiuOXaTFcDh0oa2e77vzWgtnoBkhjkWqVlJp1VH1LhP1fz+gftEH4WDQ\ndxl4pZQu+7is+YLVoY2ufMRq1xKoikpaa2u6vnxwIjFbhX0eh3Dt1Vq77Ox5UbjPRVEg07O9/BKm\nRqFW16u5qEEZQPLQ8mUAwzpNIasSroHyaonzNAo+aSG8amKxxtHZyosRRSRjhHGbCwcDXrsDw4NE\nGQ0hWEYO52FZTlAAAl4gZoK1bjzWLdkgCBwFXDeCKPkdL7APfAY0vuvGkXjAM5dCuGSx1lr3nI2p\n/LaEhZM0rDBQQUW1K04WOguuvnkbnSXOpF9opH0OP28BYMPTj0IsnSBfKuMDm3dI8ulEnpPMppMU\nXGqPZIk+Z4JfDFDw0y4iDzH73ix2Wgh71LftxZYzKpX23LtiYdBnH7c46kJyotRpkiHyZpcWprt3\nkLGf3dj3oTwaA1aoKgq1SJ2EZ7R2vnJSehDl5A9A8KRqPOMMPaWV86/QxrgxDCMAjgKyqCZzYywK\nXvkyGBTlOSfAERuS7UC4CKuHoe2FuHmNjKC1U6u4/u++Rff13ffw5GmKyFvuBrhxlY7prq5iuE+L\n5MbJDYx3yYh4//1raHGCWCEM7m1RBN/u/iGeuHgBAMmkk8mI+0O7OodxHLgNo5ID6HJD58fYZ6Pp\nuadPYzSma93b2sHK2eWZ2gccL66rlKoisWsbB2vhkuDCCpxYJ1+bTreNzU3yBTv35EWsrVFE73SS\nQPMm3fM8tFl+OlYXjxxC6HspsLxCKRbm5tquqsVH84sYHpJxurm5gvUzF7hPlpFx1CZmcPGb5O+5\nsa88UVvDcghV1SZ1m6hjBYqV25TS2lr5AGhb+nR6zrdVCAldbnqNRFnP1ejjPkdG0Pj1wzF8VRbE\nLqB1GQGeA+KY+PZjUejCrRueX7lpoJaxHhBQ/L4qpVyf1CU7eiqVm04VgFgdVE9Yeuz3tlrzj6V8\n0EUto0DNaNXapeWYBY3M16BBgwYNGjRo8BgQj5p8q0GDBg0aNGjQoEGFhplq0KBBgwYNGjR4DDTG\nVIMGDRo0aNCgwWOgMaYaNGjQoEGDBg0eA40x1aBBgwYNGjRo8BhojKkGDRo0aNCgQYPHQGNMNWjQ\noEGDBg0aPAYaY6pBgwYNGjRo0OAx0BhTDRo0aNCgQYMGj4HGmGrQoEGDBg0aNHgMNMZUgwYNGjRo\n0KDBY6Axpho0aNCgQYMGDR4DjTHVoEGDBg0aNGjwGGiMqQYNGjRo0KBBg8dAY0w1aNCgQYMGDRo8\nBhpjqkGDBg0aNGjQ4DHgfZgXe/e1N+2/+Zf/BwAgT3L8zM/+PQDAMx95Bsl0RN+nGfI0BQAIbZHn\nOX1vDLQxdCJjYbWmz9bWriBg+W9rLTQfY7R2VqOUyh0tpYQQ/FnI6hilEPi++ywE/c+L/8XnxMPa\naG11Q0J88OHlUUIAr736HwAAv/3b/wLJtM//bzAeJwCAuzt7eOLsKQDAf/7Tn0d/OAYA7PVH+OIX\nfxoAsLW1j8GE+i1NEiwtLgMAMg0Y0H1YA+xubQEACjPBXGeOjplOsBbTdf/73/pXP7aNX/7ff9ca\nfg5aa0hJfSMFXN8LAMZo/l4iikIAQBS1ID3qVyv4RwBU7TkYrd1zK4RFwecpjEF5kBYWoyn1zWA4\nwdGIxs72ZISDoyn1zeEEhwcTAEAySSAMjaPvvfr/PPQZ/vb/8j/bOKDDcmsRKRozRkpIvmdPSfBo\nhCcMJI8RI4UbY2lhkPL9R0rCinL8auiioLZMJ5gc7HC7BOa69EzC7iKkT/0mlAfDfasgkPNvAYVh\narl/tOv///G/+m8f2saX//7nrPLonq2wCCJ6LspT8LwWAKDVaoNvAfA1hOJxBIlur82/1QhDOigM\nwmp3ZoE8p7anucHuDo07CcAUdJ/pOEfo07UgBAw/I6mse3cEPFhLZ01NgiiOAABf/he/99A29uZP\nW8+jKS4IApTjtigKlN9HUeTmmKIoUL68YRS6/iyKwo1JKwS6c/SMfN+H4vE/HI2QTGhMtoIY5Ykm\n0wkM/1Z5AaQfAAC00W7MF0WGgu9BCQuf721/9+rD2uhmGwMAgs4hrIbgG6B+5HZDQ/NnaTMc7twC\nAFx557u4dfk6AKDT28Bnv/SLAIC5hVUYS8cbbXF0NKBjWi1ELXr+0BmSfI8+Ws9d9/DgDbz9+qsA\ngG7rGXzis79E9xMoeOW9Yf6hz1ApZR/0vf2AXwrA9f2svykhpXRjpN1uuzE4Ho+Pn8d+wAUeAFPo\nh7Yxz/Nja0bB77cxxt0DXbM8lajG4333Uv5tjHHjumwbQGMWtfXAfbbWXbcoCtcPxhh3LVjr5rk6\nzpxff2gbv3f5rtXauGspRefJfIGsfEetxaqg+fv2lWsQ7VUAwMn1DTfnaWtQ8JjUxkAX5XoPZx9k\nRe4+F1a7tqTGYpTReaYamHK7+jbHUU7HTHLApPQeT3bv4v/7v/4lAGDv2994aBsbZqpBgwYNGjRo\n0OAx8KEyU4srC1hamQcAXHrzEr797b8GAJw4tYLllSUAQDKewucds8ly+D7t8nNrjzFT5W6PjqyM\nxjozVThmqoBii1opVZFZAhD8WykEJO8ClPLg+x4fIj5oo/NgCOFoJ2ttjZ2q7yyAIicWSUoPL3/i\nFQDAr/3ar+FP/viPAAC72/cQ8C72wjMfwdPPfpSO9zz0ImKdhmYLe33qk1PnL2J3f59+u7WF9VMn\nAABHB32sriwCAPqHezAj6s+joYZha7/dauHChdWZmudBIzf0O2UNFOh8Snko+PFobSs2DAJs9EMV\nGrJk5JSEYMYB1sJyLxtd8j3024w3RaMkQVLQTusgm+BwRLvF4WiC8YR2M5NxivGYjkmGOTw+1WKn\ng2780I2Fg5JAWjCjFPrEigHwpABkdc+ydsqcd0uBkMg1Mx1WQHI/JNMR0j1ioO5cu4z+zl06ZjKA\nV45BWSBu9wAASydPYfHEBgCgtbgOGRETMLUKCGhcZEXh2A1PGMegzoJkmsIP+PVXQNQixicIQghB\n50+TwrGHnhLIeLx4fgiPxyZkBi+gMWClQc5j3/c9FIY+J0mGuEv3Ly2QT6l/WmEX0hIjNhqNUe2Y\nLbpzXQBAr7uANKXr3tu5g3Q6nbmNvu+7988Yc2znXd/Bl589z0PGu/nRaFSxY0Ig4D73w8Cxk0k6\ndfOHUhKCWR+dT2FNSRll8HjMdNohgpiYuLwooIty9x9iOqHxnKcTGFSMwsNQzoNaaAhmppTJMWGm\n//BwF7u7mwCA/qAPwcR8x7d4/82/AQC8+8bXMTik44dJBKHomXzpF34ZktnINBni3t0r9HkyxerS\nCp1/fxt7+zfpt6McMTOcUXAde7deBwC8cetdPPXCFwAA3ZWTKPg99mdYfY6x+7ZilwSIUS2/P/Yb\nVAfVn3/Fdlbf29pnIQQUs9Dnz5/HYEBM3HA4dMzOo7BSjwLH6gvhrnX//9evXV/nHnSM1vqB92qt\ndeNXSOnWwvqxQohj/TZi5l9AoN1quWPKvpqtgRK+8ty1yt+2rYXM+DMsBu9eBgD8xf/2r/Glf/BP\nAQDx6TMQtmSagHKhkUrCL58LBApN77fvyYpRtRYFrymqKODW4DRHkfE4NAbMjyMKJQT3z9d+8B0M\n7lybuYkfqjHVmetgmRd2pQzu3CZq+drV93HmLL1sSgAFG1NF6jmK0bMWxrgnD8OLnTWmenlqqNOl\nWmuo2gvjpCkpq0EkhDNe6EFXky0eMLg/CMYYiPLFOHZ+i4QXAm00khG9qMpX6HbJkPyZL/5d/PDt\nN6i9wsPh0SEA4PnnX8Q//uf/DADw6quvYTSmwb21u40sHwIA3rt8AE+S3LK3uw/P48lfSviDewCA\n4e3LSPwYABD7MRRP2kWWIh1mM7VPCev4TCsEPJ5spZJ1FhpgA0QIAcU0LqQ4NnHZkq61HkohViqv\ndowEDEuXeoohL6rTJIdmC00KD1FAberIACZiaWbOwjLDHkch5qLZjSlPGli+hzwvqvsxFqKU6qSE\nYMuwsBIh90OudTURZVMcbt4BANx8+3Uc8Wed5Qg9NjqUh7BF/eMLgaVuBwDw7IXT8GP67Ld9bG3R\nM7x+5x5WnniS+r+9DI+vFUgJKWef6KPYdwulChTimMZOmmeYsFylpAfDhlUrCJ10OxoNoBR9bnc8\nWJ7Epmni3pV2p42Cn1EUeOgs0BjP0hSGVDJMRin2tmiM6xTu/qfTISyvmlZ70Jq+j4MYFnrmNnqe\nhygiI3E8Hju631pbyRjWohXT+ImiGGZM79M0yd08EYahM6byokCm6V0xxrhjPM+DtTmf38APyKhY\nWlrA4hLPeZ6Hg0OS09N0jDCgeytyg6KUUGW1UZwFAnQv6WQfoyEZ6/duXsXbb9E8srV1B/fu3QYA\nZNMpWvwuLnY9ZMNdAEDHsxCh4X46wp/+0e8CAJJkgm6P7nHQv4s9Nsq2720jZIOrSCeY8Dw1HOXw\nWR6/8IQHXVBbt28PcPXSWwCAlz6zCAF/5vbd11g3xdjaRtges6ZqB9Xg+d4xmdf9RAon+a6srOBz\nn/scADKmfud3focv9rdjQH0Qyvnj2PqE4wbX/d/d/3fZ1g86rjzPg4yy+hophEDKbjfGGOf+UpdB\nZ4EnK1pC+co9u5YRiC1vxgYD/Nnv/t8AgF6qscJrmNTaGU0KAqwQwlgLw+uGNgZeaazVDGdjLDJd\nboxDxCHNVXGYo9emsb2YGyTc/uF0hMmI5oD5fILIzP4uNjJfgwYNGjRo0KDBY+BDZabCKMbaiTW6\nsFRIEnIQ/u63voFnnqbd9sb6BsYsk0gvdBa20gZWl86QBkZVNOQxp7iaQ3nAEgJJMj/qyFe3rIWU\nTroQotq4CAjIR6AztS7cfQZh4DY1Ukjc3SQ6PJkmaIV0ztHBLtbPPkV9EsXoMjMxvzDvHJaVkihv\nIdcJnrx4FgDw5ltvOsZCG+nac9DfR8ZsgQVw2hAjdjoIcfuQrG7byrHEDEGWa2zt9Wdqn5QCQlC/\nGq2dtCFh4LPjtQRgZSn/KShZSqnMYAGwUDC2pJsjJ+F6gUKW0vNvd7qImbWTfgfh+Ii+9z0U7Tb3\ntwFKyVdrSMk75sIiSVnmNQbKzr7DMBbOCfjK+1cwPKLrvvDyS+h57FxuLQLrcbsMcr7/yPOxf0A7\n/itvfhu33r5E58wztCP67XwLaJVO+XHk7n95ZR4XX3wRAPDEcy9ASHZWLjSWFkkeTyd9XL9E8kn3\nwotYWF7lPpQf6Hj7ILTaodvRR+0QnS6xM8n+GGNmPufnFuEHzBIXGQrLNLrvI+B+aAcRUpasoTXa\nrZivYAHuc08ChhnGQk+djBT2Ath9lthM4Bhd5QXIc7rWcDhCzAxdq9VBniczt3F5eQWa34M0TZ20\nkGWZY7yVlJVcYSvJr9DaTY7WWiQJXTcrMngsj9blmEIXEIKutX5iAR/9KMnyzz//PE6cIMk9yVK8\n8+67AID33rmMoyNmmLcOYEpWC3Ayw8OhkU5J2v/2X30ZW5vvAADu3byCq1dIkpubn8P0kMZvICTs\nmIMCjO/mlKefewlHfWK10svX8N719wEAf/qH/wbdLh0UqASCn/9kMsHREcmSc50WFAcaaAA+BxS0\n4gu4cZPmlN39HfzZH1DgUTbewcc/87MAAG++M2M7/+NQZ3aKonAs5crKCjpdkpHH4zGmrBj8yq/8\nCn71V38VAHD58mWMWd7620bdHWQWGfG4+wge+NsPku3qUmCd0bufZSr/9jzvgQyUlLJyTJ8Be7v3\nMD8/z78NqzU19GE4yqUQIS585hMAgKfOnsfaU88DABJYKL5XKQV8nuMzXWDCrFkQRbCsVkmp3Fxi\npXLMo7G29LpH3IldAFGR5Mj4rxujbVx667sAgDlpEczcwg/ZmJJS4cSJdQBAr9dDtk9RIPu7u3jt\nq18FAPzSr/wKAl5oNAx0SW1mlY+P0YBlSg/WVnSvtc6YEqIyLgTgOldrU6NRa7KT8t0DtoAzvjzP\no4VqRgwP9+CFNKGU0VIEhbt3yZjqtFuwvNBf/+HryBOamJbWzyLi33Y6HWdIjicj3LxFv93b7+PE\nCvkrTEdjTHnhk14IyX0y6I/AbgkQgY88Zj+GVgQvo2td2R9gwJFgq3MtFzH1MEhpURRlNF8BKDaC\nrCSfIgACFf0qrHHn1gYw/HmaaaiAI8K05+SzTqeLsSUjO4xidHoLAIA46qA7osmwf2SQsdyT5zks\ny39FVqBgyjgrCoxTmiQPhymSdHZfm8wIBPzspkmCb3yNfEsWF3s4/fRFus8gQAY2LqSAYgN6d+cu\n3v3etwAAgzvX0WVjpLfYwzxTzIHRiLvUru7KSVjut4XVdaydPE1tyXMYNkaMNQjY+C7SBHu3KQor\nmU4RfexTAIDW8gmk5hGsKSs4soc+l8bL/PwCWgEtNNYAMUdtee3A9WEcRVjgxSj0gCmP3yAQUAFv\neASgQQbIaJoi0IG7Vouv6/s+FnlBzaYBBPvfBXGMhKM1gzBGp0PHBJGHJH0Ev7A0cZK4VNL5r0VS\nIeOIHWsLaM2ypgrdjOjFPiKW4aQVKGN9u7HvFiGhQig2Ko1O8fRHaFP0c59/BWfO0HNcWFhAGNB8\nNp5OsPTxZwEAz6wv4PZdinD81ptX8PZlktCs8qHkrJs3i/cvfQcAcHDvPfiaDKu1JYF8EnGbgGJC\nz1YWzt0OZ86fxeopusf23AmMNPVTFEv4/E5no13k3GeBZ+Hx/NjzJcKFNvdxhm6PDehI4cLzHwEA\nnHviOdw95M1g+A4m+2REfvMrB9jZo83GL/+T35ihhQ+HQC06WsL5DhprsLhAEuvTzzyNT7xCvqlP\nPfkkVtdoU390eIg333yT+uTsWZw4eRIA8PalS1X03yPIWf8xqMvFdXyQn1T98wdJbQ8634+c0xrU\nNdEH/cYYc0werxtljyLz/dZv/QaWWO4+ceKE22Csrq6it0TPYqnXw/lP0TMKWl3seHT+eaXg8SZc\nKOmIgsP9A2zuEpnwwsc+BslzthLSGVbWCqhyzUmmGLDNsby64twcDsdHuMYuR3/1vb/Ga1/9CwDA\nRm8eAfuSzoJG5mvQoEGDBg0aNHgMfKjMlJAKa+sUoXT69BmXM2ZhYQEmI7ru+tXLeOHljwMAEpPD\nMhslIZzrqQB575efnbPZfRRpaTcbWyM0pXC7SSmlY52k8lx+oHqkwqMyU+/84HWsnCQZbm5h0VHL\nxlpsc46nW8kQ6/Oksd269T4GfdqpPTEdosWWcKc755xwb9y7g627ZDkPDnZw7T1iCPLpAYajAzq/\nkBCSWK3JaArFkT02j3BlyDT80MPVIVHvgcwhLW1TvaCDVM42FOJIYTgg5sgUGZQo2TwD8I4BVtZy\ngZBDIABAWpeLZ+ugj8RSuwPl4anztEv2gwBLyy3+rcF4SI76QRBiZYkkv8l4H/0hyZWDRCPhnXcy\nzZBwHpHxJMNhnxiTw2kCbcrcTA9HKC3GU3Lsne+1sdQjZuHWpTfQ4hBBu74BP6L+m2Y5jnaIWXjv\nB99HXFD/LHV8zLXot888+wzYJxlJkiHs0C5t7fRZgGlrY4Fpxs7Nk1HJSCMrDDosa/baERKOXvQO\nt7F3lWTEzsIywkeQowWCagdvDIbcz51eG/NLXb4fgZyHvhf4aPPuMFQepKHPgQoRKmrjRA8xYElU\nhQGylNpi8xweXysI4irHVj5Gr0esUxHHUKV8nOXY3yLZyTdAMeF8YdMCaTG7zLd/eODkWs/zHM2h\ni7yaM4QH+MxAxS13n7HyEZYBKRbQeRnMYgBmgMMggMeM6lKvg08/T8zUxlwEM6Cx3Z8cujlA+iHa\nHACyNU1wsENM0nicIIhozEdecCwX3o+FnuKtN4nR74YjeAGd4+KTZzHkAJcr715BrKiP18+exfmL\n5wEAgbKY8pz7zg/fwBaznYPDDF3OdaZzDXC72+0WOjw35SZDIOi3S+1FSEttkoFEu03X2t09wK1b\nNN9FYYC1E9RnvV6G7/zVnwCYlZl68JwuakmjrK3IIyGky2H08ic+iV/4hV8AALz44os4d/YMAGJE\n06QaRyfXiY36y699HVev0zx7NOhjfoFkqaPDo0eS0B8V9YhSasOPl+3uP/5h39+Pipm6r29rju/1\n7xwzdZ9T+wexXw/C7u49jEY0N9y7d8dFFMYyqKThdgdzHNgSdXpor9A6GiJFq01j7Nnnn8PSCkWz\n/97v/75TKMIwwEefe47uWVsXzSeEgs9r28F4jFf/A+V0fPmVl3H2LK05l6/8EH/4JxRFHy52sDck\n9mp0uA/1KAEvMx/5nwDWF/C69EK2FnsYXSVdv39wgKVVWlxe/863ELBPwlPPPwvLL0bhCSh++LIW\nUSaOPWB1LOS1PmgqxlZAlItOTeaTQrgHLJXnJDPzoNCQH4O/fvVPcfrcC9TGhQXMdSnUPYxC7G3e\nAADs7O8h4eimza0DHO5TNExmFBZOkowUt1puEN+8fgX/7k9ZRtrq42CJ/GRMMY8l/pznBeZ4YRL+\nHK7dJSNreLSPt66Sj83XsyngEaX6kbMthILC87OuhMBs/gtz811ntAolAFuGDEsn4QlZpZ9IMgNd\n+ntlGjdu0wS7ubuDERsOp1bXsDzHxkInxKkNmvQGgyEOD2hgb2yso9ehvvS8Fg6O6Dz7wymmEzIc\ns7wKebdGoB3TYhjHgOfPbmhIAXj8MnqeQsiGTJaMsPU+RSUNtq5heZEWnTtbe9gC+9Z+AAAgAElE\nQVTe3AYAdEMJy9da7oU4sU7JVs8/9xJ0Tu1NkgSWXz1dCLTZXynPU+wPyEjcOxjDL32Loo7zq7Lp\nALFfhqsXuHeTFsETF3YQrKzP3MYityhKeSswsIr6cJLkkG3eYASRM0aS0RH0lBbQqNV1/mKdoAOl\n+LmkGgkbOzYFkPO7Yz0XzjwZTwCW+bQAfJ++b4Wxe15S+/AFvR/j/hDjAU3Ch4M+7CNELEpRRWp5\nnuf8nooirfz1vBhW0WRughjgY1SRw/DzUp5CyE2ZmgKyvE9PY6VLhuQnLqwj26aF+BuXv4k2j5lW\nq4W5OeqfuaU1nH6WNopKRfjhe/Ts7u1OICPuwyBAEM4W7ZblCTyf7rG7EGC+RxvVP/njL2M0oDll\ndXUDp1fIgFrbOIeDKY2vH3z9m7AFGeV+O0CesEvByLicBYtLSxAZHWORYZGdLCfJwL0fifCwf0DX\n6nRj7Nzb5uP3MdfhFBKjFJmlsdNdXILYnMzUvgehltXmGEpXD2M0Pv+FzwMAfv3Xfx0XLlygNvo+\nAh4LeZ4h47lHa41ejzYP7VaM773+On9f4OKTZBzfunn7RwyJ/5T4cTJf/XM98q4uvd1/rvu/vz/6\nr1ojrevQY9eqfV//v7qx9iiGFABk0yFM6e/YbqPL0n0c+ui26f3zfQmXYNak0CnN/XtZH3ZAc+rd\nvU3EbNQfDO5gPKLn+K//1f+Kf/Zf/nMAQKoLfPM73wYA/N0v/SwunKIxMM0TXL9D7jKtpR6uc5Tr\nl//f38MmJ7CN99sIea7NBzmytInma9CgQYMGDRo0+FDw4cp8vkDIzNT86qJL1OkrCY8lk3Sa4Guv\nvgYAaHXbOPXEef6xdRFiwlMQLCkJY5wcYiF+xArnD875VCjhOGEjjuc9kixZSaUgeRcjIWAegZza\n3drElHfwXnsBPabM08kI+7tkFRtd4AYzLtPJBEkppdy5BdUh5ghSusR/F85/HGunnwEAPPmRFcQs\nCQgvgOScLWmhkbFz+Rvf+wZGLH3t7gxwNKTdZdRSsBz9sLUv8Mw5LieTJhjMuFnsLi7CerQb94YT\nlyQzTQsIWUmjZbGVLEkw5l3g5u4hrrOcYI11tPvZjdNuJ58XhctrkiaJSwLY6USOZej2FuEpYtUC\nkcFj2kBECiGzHpHvuyhCY6rkr7PAWOMSafYWFvH8xynCbvv2DYwyYknC0R72xsSO7WxNnJN9d7EF\nwTLW0cDg+VeISo5abRT8oPO8cFGH1kjX3mkyQlFQX43HYyRcTmhxcQW2Qzuk8WSM9Q2SJW5sHuBw\np6Skd9FeXJu5jVpreOzgaaAhJUfe+QpexMyUD4RlEk6tYRKOOuyEWGVJuZsHgCRWOQlaEOyLnOYp\nMp/zT5kMwzIYYDJC4bHk6gnkPrU9DzOMiyqfl/a4jFBgMLa8o5UW7aiMFnw4lFJOrpdSutIvmS0A\nfm885QNlYEsywPocfX/u4lksLtD74UmLjJNgHo0THEzp3jKT4zMvURTyC8s93HiT8ojFHtBh9jBS\nFhgSc3MwGSPu0Zy3sryGqEMykuob+NyuoB0+tOxJCS/w8cKLnwYAJOOreP27tBtPRhOcXCWWanlx\nDSvLNAa/8/oP8Pbl9wAAoQBOrVMgS5qnSMtHEkbIdBntJdBmZt03I0ynPPZbBisr9O5+6/VbWFqi\nd7fQOdKU5qDt3T0sLlH7OuvLEIqe/6Ur16D9c7M1cEZIKV1Owc/85E/iN3/zNwGQo3MZcRbHsWMO\n8jxzecOm0yla3Pfzc1388B1ylD9z9iyWVul9Up5XlTj7W3BGrzNNAFx0+v0SZ730Sz3nYuUgX2Ov\nauW3iLer5e6r+5/X2K4fvV7JiJXJZSuWpp6jahb4SmGbI8+jKMIhS9++9BFwibEgCJxEK6TAiZPk\npF74FlFI47AVa0wTeheXl+axusT1roSPv/iLP6fPgYevfPXf02cJ/NN/8I8BAG+89Tpk+V62Q3z3\nexS1d/nK+4hbdN3+/gSSXUU8DUDMbiJ9qMYUpECbQ/8XlhYx4Yia/e3tUi3Cxvo6Nk6TNJIXBTwn\nCWjYklrUAsJU0WJwA6sa6KY2QGuqIPk/uaSdojYOBYWCAICsPkJU9dhmQTpJ0B8Q3V/IuzRZA8jT\nqcv4q/MEvmQ/A19CsKS4s3uAExdoMRVBB6fOkQH16c//PPpHJNsdHh0i5Rpm08mRo+pvXp/iB9+n\nKIRsfNstrNloCzFHCFqZQwg6/yiN4M0/DQDozc25KMKHQYvAGS9+oWCmnLnZWEhuq5QejKXr7A9H\nuHqHfENu39tGmtEzj/wAgz75dUwWplhfIx1cWDi/m4P9fXTY+PaFcFLX/NwCluYpGq4VBPBFGdmi\n4fPi6deStk6LwE0IsyA3QJtfujAKcf4peg6dpWXcepfCz0fje8jGdP9pZrA4x35D/RE0G4/rZ09B\nsT9OOh0jYh+cwAswLeUkP8KY/Vvu3b3lwu477bZzQdu8dw8b6zSxLJ5Yx+IGLV53d19zxqZNRsiz\n2f2JgkAi4mShrV4XRtBvjcghuJ9bymKOJ5P57gp6HLW12J6Hz9qtyoWrIRkWEvNsgBRIodm/zAQK\nGRuD/fYYRzwZjtIx0oyjbCcFEkP95gWeq16QwUIyrb86twCdzZ4dPI7jY8kHy5QDRsD5Q0XKh+VN\nyNNPrOCnXqFn/cyZE1hcIPknT4cYDWgMZxmwN6J7O0gTLLIkl+/dwkrI9c86a8fqmZXzUmE1tu5Q\nhufVp+bgcaLUJE8RlcHJAjMnCZYyxtmzZOi/9f3b2L5Hc8RzT30UbfYx6Q8n+OqrVGni9uYuPM7A\nvrK87Hz+8mkfltM6QBp0+BjPE8g4SrUbx/AD6qcwAv5/9t78SbLrOhP77n1r7llZ+9ZV3dVodKOx\nNHaCIEEApERpZC4jipJIWdJIYYcnJhTh8B+gcIQV/mHCDjtiPPaMJY7GI8kahnaR4iJySIIESZAg\nQBBooBvofanq2nNf3nqvfzjn3cwiQSKbkCkqos7EzCSK2S/fct+9537f+b4TBGyHoYkKB4Ag6iPi\nOqxiOYdiiTd63R66AT3bnZaNR975xFjXB/zw5EXgoEv3qVOkkvzd3/1dHD9OpRKdTgcV7qNo2zaC\nwXDHmGOj1jAMTZKwMDuNixco2bQdF0XeCAtpm3nz+5OIH2WgOfY16oO2Jiqbz0bsByip4WRKURkD\n/R3I/rHW6YHk6AAXmpXFCDEEH0Zou1Fqb/SaVBpDq8yM9iDldTuJZbfdMZ0AhIYx3U6ENir9KIpM\nvWAQhAgiOtG1u++CzwCCSjV6XENZD1u48DqVCtmOjy5bLeXKRfQ4t3jmi1/EBK9ttuciiWm9bNZ3\n8cb5swBIFa94IyddCzFL4VWqUfDHt+84pPkO4zAO4zAO4zAO4zDeRvxkkSkBWB5TNRNlFKu082vU\n99BlC/cLFy6gxcoip5BDeYoohOm5BSS8exIWkHX1gBZABkurEf8NPcycxYhRJ6QwqJOWMFCoGIGj\nhJAGKYNganDMmDt6r+lR5+UBl5UEgXDQYSWb4zioMNzfbO8ZG/y1Y3dCxJRd+6UpHDtNpmXtdgsh\n71ZSy0KDkRutUsS8s9+u72N9g3ZVs8urqLdoh9jt9aFs2lHKVCPmLtuDQYCbm5SlTwwUVo6Ml4E3\nGgMIke0egIT7rKl4iBBGSNFj9dzlW9v47jnqbxQOQliCEYdE4epNKlZ9/fINvOcdVJh799oRhD26\nB1KnmCxygX1vgCAiJaJwc5jI0/kWpIC0WGmllNldJXFsnq0UQJiOj2g4QiLhnR+hiTQYJqdm4Zyh\nHW39xlVce+0lAIDvdFBiFGa/3UPEO6pyuWwMXMPBALYcmj1mqFkQt7G9QZTlpfPnUZmicXHk6Cpm\npwmNiqOb2LxB97A0MYtQE7JTKDhYWyNfn1KpAHUbyJS0U4SMoJUsHy4rahIVI88UWE34mLHoHS0l\nLlzuoYUoRMxjtq80un1uaRIm2N0nqsu2NVyH1X+OC49RmCk/jyr7yCV+BY0+XcsgsqAY4YgjhUFW\nIK4dSEb3CsU80nR8hNF1XWMGGycJAlYXCseFw4iSlYZ48J5jAIBfeP8DWGAj25KToujSONzZ30CJ\nkbvazBzuXKFnpEol3LhMz2X96nkUGXpOYoVuh64riiIzJ/nlHDTPf439TZS4eD1K+0i5LYxt54z4\n5a1CKwmlGBHtAieP0zvU3t1Fu030b6/fRxiyurRWwTQLImZnFtBq0HfiuAenyJ5vqguwiEA6Nhz2\n2iqWPfg+jVnPS7Hfprmj1xug2eQWHfk8siUl51toNmker+8O4BSJUnznE+/F+//Zb411fW8WhriS\nwvTxPHnyJH7v934PAHD//WdMf8V8Pm+81ASG9JnneUPTVsuCyzLbSqlo/McKhQLuuY9Qv7mFRdy4\nRHOrtO0fikDdjvHmaHy/Z9PQBkod+E5G7SXJ9/fdG1J7o/5Tw38vocx3UnMTv9/HavS3Rr+TIXdC\n/GCbmnFj0O2Z+TiI+wize6W0uV56LvQfruvBZX+2Y3ecxNICiWtkquBzeUKrsYNb14k63NndNWh/\nu9mE5jV7J0nwn/6IDGPXjq9hfZ3mp++99Dx22e8MqULA5So56RtjTyEFwmB8f8KfeDIleMKZmp1B\nbYYmpXazYQZ3f8SR9oUXXkCP3ZU//hu/ObQZSGKodKjrkHxzLWGZyZYaPY6YjSnz9YM1CVlvOSGH\njWKlRf8XpEwT9vgA3sp9jyHga+k06njwkUcAAC+9/DrCLXqQTz39NNZv0SDYfXEfuQINmrm5ZWxv\nUx3Oyh0n0WczxDAI0ObJWUNhwDBnFETY3qbEamvrJny/xL/bRpzBqFECiydnWwJxBtkKCx7XCqRJ\ngv39+ljXt7/XMPU+aZIi4aRJQSFJ6VlpbaPFSdbW9j4Cvg4oBZ+VG3GnZyTyUdCDk/UmS2O02Whx\nYXYGRf6+0nrY5DbVyHHNQxoHsJiSk0obOX6UpEP3fAumN+M4oQUw4De8IgQGagiFl9is0llZRf0m\nLaTxXguNFkPMORs2n0+cxIiCzEW5DMl1W75bRJ9NKbvNfWyyIevG+g7sIpt5VirweZIvO8DZ66Q8\nOX9xG3NLVDN17NgRHFk9xtcr0bod/bZKEGaQd0MjV8icqwuY9KjW5a7pRbh9OmbcCuB4NF6EstDh\nRacThejyeBRawuGEqBf0wbkatDOijBtYpkGt5ViYEFxDCRuKeymGOsGA38WiJRAyJRdZFmI9vsVF\ndzAwNVNaK2OOats52Nyr8eTqJH7+Z+4DAByp5dDep/usbKBoc7Pw7Q4kW41MlT1EXDMlvRTLq1TT\nGbS62H2d6f16C+02Jf7StUyT5/JEDXNMQSWOh8fuWeXrTbHN97nXjyCt8Z7jzuZVfO0LnwQAXHzt\nObiSNhitxh40G6YKxCgXmX63PEiVPZQUOVYl6shBv0djoeBZ6Ic8ZmOBAiuEi0UP8YDeJ097po/i\n7FzN0EBBX6Czyxs9a4AyWwucvPc9OHaKzGXvf/h9qNWWxrq+Nw1+j9MkxSwbb/7O7/wOnuSeeoMw\nOGBrk9VZaq3N5zgK0WhQHZtl2yhzIhkEA7PJ6XS7SLkDwcTkJG5c/v/XuHM0fmgTY5Wp6tI3/45K\nDzRkNomPPljrlE0TcRwfoMFHfyvmhDROogPWQxpZT8v0tmg+rbWpWRRymJCmSE0yq3Vqxr5lp9Dg\nOjWdQEr63fUbV7HIzz2fK8LmfCIM+iNZqDZNxMN+D22uWRRCocNq6cFggJjnJEdbSDOHdQj4Hj33\nRCkkg0M132EcxmEcxmEcxmEcxk8kfsLI1FB5sN/cx80toje6g76BY6WUaLWYzgn6+OY3nwMArN15\nEu99+mkAgBYaOlMiJfGBwrksV6YseJilw6ALQ5WEAtnTA1Tsl6n5IEcoPykJ0hkzNq/fwOIyKV2q\nU/P45rOvAgDyeYH3v+8pOjcdwWfEbSqXx9IU7YCvn3sddz5MvYmULQH2uGh2OmhyT704CdHmnlEi\n1djrsyX+rYtGyVav19FiNV8iEnju0FckA9/CIMTWFiEKc7MuNrf3xrq+breP7L7algOV3SdbGGSv\n249w4Qo/294AU0znxlEEh1EGlcRQbAh4/Mgi5tizKR70EXKxaprE6PfoutM0NQWkeddFgZGUdq9j\nWn1YUkKwKi3V2hiHAinGJ/nocQ+YDu3EQzWnI7TxHevXb6GkCM3bTxNc2yUkYHrCR22Czs2zNXrs\nh7WnA8RcIOl4OYPCxIMQPe7llwobxRrR2p1eF50tUj5evXgFVzaIMqlMzWGiQmjByvKCUSk6EmjH\n44/TQqEAh32gUpViwEagxXwZ95ygvnIPzB9F8yohqB1vAI+L/uMogWzQO6raTSQMQSVBhFKRlVEl\nHwmjV+VSwfTIs23bKHa6na5RgPq2Y3Z2ntKwuAjUsYWh/AKt4brjCSUAwHZseB5Timli6LN8voC8\nQ8e/585jKDGSuHH5CgY92sVubW9jfoo+99odTE2SmujWdguBomdR1QqlGt2T+dWjuHWREMZmo4UB\ne+rUqjOY4/lgcmEBM4tkRNjq9nCCW7I4lUl84+xlAMAb17Zhu+P5TD37zF/hyoWv0TFkgM1b9Eyu\n3VxHtULXujBTQo9LKGzLBVhpnCqgVGD61LeQcmupJAjhSabzZAqLSyt63SYGfBwtJuDwfa1OANu3\n+PnHAosLhJTOLQ0L7B947INYOU7zmp+fgr4Nyv2HhdYaH/3oRwEAH/zgBw3FIy0Jm9Vhtm2btmCp\nUoYm26/X0eV5ZWlxGR4jriqVWDlKyOH2/j62WClb39sd9m8cPQfQkgZkRtLZ59tDsX6A5oP+gb8r\npYy/H7EuB4yghv/yTbyooEf8FEeK2geDgSnEH40wDNFntHl3b9voISxLmnNL09tDpqSUB5WDho6U\nhkaMkxCSWxlZdoAkZU/KXAzPZZTKGmCvQXOq1C5OnibhQT/oYnePRCJJMCA6E4RCZgXl+7t7hvoU\nqYKVgdypMrBSzvPR53UjX86jHffGvsafbDKFYe2S47tmsXM9FwN2nNYjvYCSMDRGh3/3F3+J9g65\nIj/4yEOYWyCoz7VtjKpEkfWHG+nNBwAY5Z+zP2H4fUtKyMwFXEhok0xZgDX+IlVv7uGZr32FPu9v\nYXmJJpcnH38YX/0G1Qj99ac+iXqTriXph6hWKZn67/+H/xHcngw7GzfQ7dIAarb66HId0SAK4THV\n1KnvYXOb/p7MPYXKMk1Y9kv/DpMeLfTb6XZ2pQCEmaiFcrDDzY0tK4I1phmiUjBQeCI1JE9cUaKw\nuU3Xd+naOm7uEdxfnagZtV2v2zUNgYuegylufHnqjjXEbCZYyOeMiR6UQsScdRIn5nOxWjGULyAQ\nxtnkL4wzfqyBHiuLumEPg9tQgSmlTU9IqQCH741tAUGP7lmweQW1PE/UFR9X9+i39tohlhaJvi7l\nbGimTFpbTfT36ZnHcCAKVEPSqjfQaNN3SuUKUna0f/Yrl2Fxv7Td/QFyE1Q79sQTD6FWZmsMkSLp\n8DGDPkRueexrdB0XOVbzRSpGooZjxGU1V3VqGrLLVDkaADudt7s9aIbRfdcDWD6vcsMJVmqYBTdJ\nU3geU/RpimyQT8/MYsC0rJvLG7VPFAZwuJdfJ+hBcrLW2dpBpTY1/jW67gFrhOIEJaGe48ONabyJ\nXojmLbqH9fXrmOTSg/16gE028uu0Opgs0/kHwXcxs0hzzz3iXkQ8rmpTkzRAALQGPbhs9bF0x51Y\nuYMWaK9cRsgUeWsQYHqCruVoroIbm7QQvPrGdVjOeO1Vt6+fxYP3UqLmFyZw7g2uP4sHQESfG7s9\nYzsyiAK02JKlkii4gsagbafI+SMbJK5VSdMYlqLFZNAKkWh6/yJRQBTQtV67soUcm55WSjkUS/T8\nJ6dnsXKC+qwdPfEAXDYlBWBqLseN0TqgLBE4fddd+K3fotorz/PM4u+6rukhKDBi5plqU4+zt7+H\nXD7rD2khZF8Iy/Iwz4lv/dIlHGVbnivnz2Hz+jU6lzc1EID5vR8nfqAHX7b+pakZv2maHihhyd6z\nIAjQaNCckfM91HgzRsDCcBM9Wutk6jWDwGw2gKERZxAEcHid6PcHKBZ987tZ30it1fcbqP/IGF1e\nRs0/R02xl5bnwFMPzjxwEkeP0Xy2dmIGPV4f7rt/zfTnfPnly6ZDw/Kxo5hhJ/sXX3gBcZj1o0yM\nlVASJRCcLIhUQWa75FTDY2pPaGlq8XpxH+ltJP6HNN9hHMZhHMZhHMZhHMbbiJ8wMgWAe92s3bGG\nX/pVgmn3b2zhe8+R4dzVK1fR7fX4m8pAg1EQYH+H6JCvf+UZLC6TKd1j73rM7IA1YLYHYujNSRn6\niBHaEPIcgWap3Tj9hxRG+SEsyxSujhOf/rtPocJtT5QCXr9Miq+rV19Dm/149hu7WJinrPvxp9+J\nu0+TCqe1tYnPvUa91l49dx7tLt2HpeV5lIqE1tiuD8HQe5LYiALa0e6c+zb2LlAH+eW1+9CX9Pd4\n42+N4ZyGhrBpd+67PrhGHY6VwBlXQaSHqHIcKwyyXnvb25B2VrgnkHDRY7vdhuRiRglQozO6O6iw\nf1A06MDjwutatWLQhzgYIGRqL0mUaQch9HAn4bgu4oDbySSx6Tc2CEPst2g3s9tpot0fX+nWS7QZ\nCpZQBrUpANi6RUXnO+vrEFxw34gklEv31XZh+kn2u13jx1PK20hT2tnf3GugJ+izlEBaoN2kZwls\nXCeqqNPuoTlg+mlvgCd4l6ySFJeZTqpVcyiwijBo7mHQHX9vlKYJXPYZ8hwJV2TF2TbOsddOObUw\nkdB3uv0+wGZ20SBAwnSR40l0GZ1pNptmZ1ybnsaA3+Ow30Ofvx/FkdkNazFEFYOkC9fJ6C1l/Nlc\nWOi32McqEshjPNQGILoiK6T1PM+891Ecwcr6A/YC7ATczmkwwGqZ3t0zDz6Ca5v0u6995Vnky4Si\nLq4ew8wsfe62Okj4/P1CHoJ388qxUZiiMTyzegzVZXp2sZS4dYt6OCaWA2HT+N/ebODK1XU+a2HU\nvW8V9Z3riGYJsSxMLMAqEmrw8EMPob1LxfCvfPd1hBGjMIUcJLfv2d7dwCS3cJoq5RBnSKyTolSh\nuSYcRMYg0ZE2Vo9R4fiNehvbO7xjjx34rM5stRoozxIKcOSO07jzNPlJOf6kKVwWkBBi/GcI4ADV\nlc/T8X/7t38bq6urAMhPKjPhtCzLICxSSoPIxHFkFOP9fg+2TceRlkSnTmiz7zuYtGn8qgsKqyt0\n/DMPPIhzr7wMAAj6/SHj8WP6Sr1ZGF8yACHPYbc2N7GyssLn5puxnKaJoc1b7Qb29xltLJcPIFAZ\n3ZnPFYwISSllWulEUWTEXp7nmc+2baPIRfmlUhExl6QAGvV6pgAtolQaoo1vGSOU5QH7K2GZ9nF3\nnDiGp95L7Mqjj51Gwj1Od7frKLA5Z73bxq0dfo5JiC6zFVoKHDtBCPDu/p4RGKhUw2WvqMbePjQv\nepZwDBUohIZipL2xvw/Lo/dIaXXAqPSt4iecTEmjsCtO1HDf4+Teqx8KMXuEJoXP/e1ncI0XC7T7\n0DxR79db+Obz5Fh66tRJnHmU/q3tlWDIT5FCJxnnB1hsOCggoORQ7pitlFqMqBikHNb/CGnoPzrQ\n+FdoaYFeh5OgpSW4eaIEhFaYm6YE8Mn3PI2HH30UAPA//c//Bv/2//7PAADf01h9B/UXeuyDH8d9\n80xf5SXikAZQECms12mQff3lNtYjMi2LCwlspgeuXriISY+Sqf/2V/9r1NkUcmpyEooXxGefexEB\nN5ZttgJ49pgTg0rR7dIA3tito8efp8q+MdK8dC1GyvUyOelicZYmqLmpGpYZim01G2i3iArc296B\nl/UDq5RRCOh8bZWaeqgkVSPNrS143EA4X/IxCOjedOMB2n269+1eDz2W7Hd7Cv3B+BNforRRF0IM\nf7ezv4uUXexdGePCDk0yyitj4SiN34m8Ax3smeNkjZcbnRiZeXcjcuHNEMWSKxTgMd2zfuESOvt0\nP6sFG7ZmqD0J0OY6wquXrmN/mzYVi3MFLB/h+9lX2AsbY19jFEWo1rihsVSIkqxuIcE17lmVTxTu\nmeFEIIlMb0wbGhYns4GKTV1KkiTwmH6dnJlGq5nVrlgYsHpRaIUuf4Zlm8Sh2eyYd65ULpoNTBKn\nCPj7ju+jxAqxccK2bbNI2bZtbBL6YQjXzixCBogH9LympkuQ/HffyxlzUZ0vY5L7RT7w0BpyLh3z\nxuVr6LE6qN1umRqhfKWCOV6Ii9MzkEWqB+y026hzg27fy+EVnue+/ep1bHfo3KZm50Yo7B8d9eY+\nbm5wo9fqUdicpEzPL6NczExYU3znhWsAgLDXwr1n6Dr2mgqNNtXDzU/PYnaaxsL2Thcp08uViRIc\nVjNZsGDzM2/VB+g3OPnSGl22UijWVvD+D/4LAMCJex4CJB1Ta2Gaxf/gcvrWkX3btm089eSTAIAP\nf/jD5n+XUpqa29FkapQWDMPQNPNWaXIgQdjbpfKEQjEHzfRykiRImBZcWFhEmfsr9vs9000DGhDD\ngt0D53w7adYozSelNGBCo9Ew6uHnnnsOs5w4Ly0tGQVcksTos3FyIZ/H/j7N+/V63SRQR1fXDNW7\ns7NjNjxxHKPHv+V5nqlVnpubM8rHqakpbG6um0vc3KTNQLudx9LS+KpMy7ENoKGSBJkjsRAaRe7T\nZ1l25nKEV869jjCm5xWFPZw6Tn0S71s7ipVpekZzv3CvoSw3d25hnRO9ldN3o7FL92H96k0886Vn\nAACDMIab0f7QUFn5iwyRcp2g8B3TjUX0JHK58eoX6ZiHcRiHcRiHcRiHcRiH8WPHPwLNN6TSrKz4\nzRa459EHAZAXy1c+9yUAwNkXz6K5T9lyJ+ihw7u68+dfh82wrp8v4OhxohD+6DkAACAASURBVMzS\nOELMSIDneiZV1OS8aX7XwI1SmN2wFtaBPn2mIFDgtnymjq+tIcdVdKVyATNTTEe+80mcuZ9M4HJ5\nF5s7lHW/88lfQWWGPFK26ts4yVD6g6suJCNNO1u72B2wwZ/lIYxpp7vT76DL/jRubhbdPWpVETUv\nYHaBdiIP330G+Rna0ShtwW7TLmz3/Cv4wnmirObumsREdbzdsFQKly7T77x88RKmq1Sw6+sqrly+\nQOfV7KOUy1qA5LG6QMjLyRPHsThP5mtKpbjOlNaLr7yGPd5RzU9VMM1tS8rlIjL3VF/JjGVCmqbw\neGdWKOSwR/XD6EcROoxiBFGCONvmaMuglOOENQJMehLo8w93GrvIsWFmaPmwGIlbW57FJCNNWmn4\nLULE4ihAkdu9BFGCzTbtkouLK1jhbvae76PXprHQ3d/BdG7Y6xCzNHZOlEJss+Kvvv06EhZlbO17\naLJqs9tqI8nXxr5Gz/PNDj5KIsRxtlNUkD69K3vdPTTytCP3tQPF1K1twQgirm1sIOZdZr6Qh5sh\nVlFgduuOm0MYse9ZOoDKCj+FZUQfOT8HwXC/lfPN7tDTCmWG2qXtIYjHh90BgZAL3PN5bVAwJycg\nWN9ZbzYxU6T7cPT03ThxmtrJvPb6dWzVaWDNLc9ht8XKvijCJCv4PNcxtN3E0gLcHL1zhdoEFo6R\n8MQqVdBgVe4bNzaxuUfPutfbwa1dpqH7EuACbT9nm7H9VjG/fCf6AaG716/uoR+zynN+Drn8PB9v\nFtdYCdrt1k3rn8laDdevEAK533IxOUNjZ362gojpMOgEJS7aDwchvvs9on+7HRcxzzt+0UKRKc2f\n/a9+E6fO/DwA6tOXLS+WlEOX5R+DGcsQxdOnTuG/+5f/EgChJxld5fu+KdQW4mCbGSNmShLT91JY\nMGjO9s4mbrGq/L5770aPFWFhGBrUfaI2iclpusat9VtmKRnRU/3YrWSyfytG0N0el3cEQWAK6//1\nv/7XBllbWlrE3ByJlqampjA5Sef21HueMjRoHMfms+M4hsLb3d0xv9Xr9cx9c10Xilkj3/cN0lcs\nFodt2SQMs9TpdFCvj+dNCJCnnPHblRiq63WEKGK1qSPQ5bIOmffR5s/d3j7uZpXfkakaFiqETsfS\ngp2nd+7Fl76Dr37vRQDArf09+IzSThR9rN1N7NBrr+5AKUZsMUQVLQuYX6X3Jc050AmzIfUUSXN8\nX7t/hGSK4kB/I8uCYN599c478BGmPVZW1/DVL38VAHBr/SYrgYBSqYTNmwQ9furP/hwf+OcfAADk\nSnnT3La0VDKDgJzOM0NOCT1SGzWk88SQApejjSGHEPU4ccfxO8yAy5fKePCh99G5Fau4wT3qwkgj\nZWn80SPzOLJKL4brOCiyjUEQJbiyRS/A1W4FdaapXnzjFjZv0iTYvnkNJWfA9zDEgH9X2sCVHZr8\nn3/jMla4Sau0XEyw63K3VIJOqa6ikFuANabCxrUt1Go08efytqFLCsUc7pyipq9HUhhDQM+WYCNs\nNBu7uHmLzt22bCP1tR0LQfayb2/hjuU5PmYeijNiafvodDlRikND//q2Z5R6+80OWtlEFCXocy2V\nUvq2FEQFm9SAAGBBwGOjyKn5KdQjGpuqF+IkN2pemKrAZolx0NxFiem8QTtGo8uqEjePQomS2pkj\nqygyfF9wJZSi5HhiZhaTvPgnaYr2FCVcC9rG818ji5CNGzvIswljfRChxVSmBYWFtemxr9FyBCKm\nOpIkRsr1GLbjImAlzE5vgA2HJqu12SVTs2ZFArrLqhgpoJha7wchOmyxkAsTQ+1F/T4CXhR0qlDg\nzYYlbNNjzHFdQ+2pVMHK3OJtBzHXM0SdJjx3/HqbXjcwcvg00cZs1oJAzKayvSjE8hmiEFbvfRjO\nJG1mjnuL+Oj0Kl1Xv4eQKb+lE0cxU6Xz31q/jhRcH9ePoSS9WzNHV1E+Qhu8660+LlyjTculqxuI\neO5ptjrGuBXShe9liaprFtC3inc8/iH8xR//WwDAXXkLWtG939m5gOUlcsZPAh8VturIFXrY3qCF\n69TMCdgWfd7ZDXF8jXswli2kTqYms7G5S2MkCGPML9H4unZ5gIDrMKeWpvDYUz8HADjzyFNQmsaL\ndJLhBhbDOp4fJzIa+V3vehceeZgUgnEcDxd5IcxnetdT/qwMzSeEgO1kyk6NGzdIqfnKy2dxz920\nyfV9x9B/rVYbN29SkrW2uoxjbLb62kuvmIRQYsQn8m14ejabTXP+1WoVHU5mW60Wjh4lmn1hYQHP\nPEPJ7Pr6DZPsAMJQgY39Bn7mZ34GALC/v48drjGeqE4Zmk8IacZXkiQH6qQym4StrS1TK1QqF0ea\nJ2tOkslap9EcP5myLWnMXaVWyLZE0tYIWHl635lTWOTuArWZEppdOp+vfeOicXC/tb+O/b1rAID/\n8xN/iY/+0scBAI4nUC7QGD5/fgPNAdcyHpnG6YdpPfFqHbheZuKamHsuUYDFiee1vU3EAf29vd8Z\nGnmPEYc032EcxmEcxmEcxmEcxtuIfzRkajS0HkF/XRvlOdoBPfbe9yBfpV378199Fq+z0m1na9Oo\naPa2t7C7RSZe5WoFH/m1XwEAzLs+RMJFhlJAsz8GRovLrREFnyZPIfrK0IASeugrMs7mw7FtYyi5\nvHYfIhB83h5I7LIqqRUo7LYpSy+4ltltu06MVpeQhku7HfQ9QkFSleDcRdpJTRWK6GRqPhkiHhDM\nL5LUeEV5jgfXI/RIOAXTfqbTb2N1kQwZTx47jRuM7rmec8Dv40eFbQucOE4Kk6mFKfi8269VyrAY\nuRgEETLVpm0NRQdaCyi+37u7u6bgsd0ZwOL73azvo8OtOIpFHx6jGGkSI2DTS8tyEHHhpFAarS79\nfWuviUHIaJSmAnAKeVs7DE8K08MwTBSKTD8dnVlEzH3OVtwINYb+IzhwEtpdefEuSjajUXkHV9kY\n1Z6cw9E12t1OTU0YLyGllVHVufkq9jaJQs27qTHAtL0yllnNt7fXQC8z/5TCFLgv1Soo5cfvcJ4r\nOHC5P50OUuOnYgmNkA0cnXwJDRYShDJFhc9HRAKT7EUU2wIhn0M/isE+oOgEQ3PZsNsxwoec45nC\nWGggZdRPiRhd/r5t2bCYknFtBzVWDfVFF3pMP7QsMn8rIaRRQ8EG+n1WI9aKOMLPpVCpQQkab7Xp\nMpZWufVLEkIj6+Um0W8SVZ4vV1Fg1dP+7jYEG4quHb8DA03zzfdeP4eX2ZBTWDmAd/+DWI306kwN\narK/3x+bCbvvwSfx6b/8EwBAo7GJhx4mhOXG9Zew7xAq0ag7yPt0vz3bw7VeZkLoIZcnFGDj1hWw\n5yVy0zkE3HKm3urBz9F3bF+gz205Up3CLxPVefKB9+D+R8hM2cuXkWEOUoq3B9dwaGjMcV+2VCl8\n69vfBgC8+/F3wWM2w3WGfmJJHBtaMEkSQwVmhcoArTe3uJ3X2bPn8NCDJAa6sX7TlB7U9/dRKtC1\n9/p9zM4TDSRsy/TbFMPy87cVL774olG4Hj9+HA2mz9rtFnZ2aKytrqwgWyXz+TzKrDrtdNqm6PwP\nPvEH+PJXvkz3Kk3xzsfeCQBYWVmlkhYAL7z4gqHzlhaX0OQ+r7lcDu/hljztTgtNFget2MuY4IL1\nbrdtEKswCtFsji94kdCwkLUeS037Fj3SoqZQyOO5b34TAHD3vSdw5CitM55bw84+zQ0TpQg3dwgx\nvL55ES+9Sgr2k3edRoffy7mJEvwqjYe52iSO3Ulz5z2nH0bI80oQDzBgJWAUpmgxe2NXS+i0aX6d\n8Pto3eyMfY0/FckUhCDiEoDQwuQ3+VoZdz9wLwCii6amaXC//N2XcJNh2na7jYAdsyuVKj79V38D\nAPiQLTG7TC9As93E7DLB99IeJlB6RNlnjbjEYlTlp8VtiU9SpRCG9JD6kcbZ578LAAj9HBJBg7Ie\n1+BnNgKpgq2oNqOAPSyWaMA9jst4NibH9GvbAaZ4QO+/+llc+Py/AwDkqnfAqa6ZWyh4obGEhYBV\nbRAxkpju7dXLl/HYQ3Q/cxMFLDMV0Wi1hwvNW0SiE0ierKaKeaP6sBxp+nU5lkKcGcyNzDYCAlWG\nm3O2jTZ/Xt/cMQmfbVvY5waUjgVYLO+tTc2hwJMnhETKk6Rl+eY3BsFInZR0Rp5bfFsy5iRVcI2f\nm4bH0HAu58Mr0SIy48AspJ1II1gnVWUxrMP2KHHb72vYNRqDSydOosSNiwu+aybhTiiMc325VMC5\nDj3/STfAEXb5Tzwfi6s0sUAluHYt6xwQwmeadW56EtXKxNjXWJusocc9EJVSKPHkLIRAlWvW4u7A\nWIS4rm8ogaAfIeVkUzsSZTZf9ZIUPX4XQ4RwivS8hJTGJd0SEsoo9SIkET33MGoiYkm46/jQbDuR\nzxWNuqk76MEp/KBj8w8Lx3FQqdBmrFQqmUVE2gCycTW7CL9Y5fugTXNVCGnqvCAspKx2jNIUMdfx\neYWScVXf293F/FGqt+orFxfOvg4AOH/pGnpMm1YnfIC/H8exmWM8zzMydsexEAaZ0uxHR2V6Fu96\nmhbMN175IpDSpjLqKFwPzgEAur0EKc9HcaDhuJmDdYCU70cvSLCxTkqopakFWFxvYskUhRLVm/QG\nKXaZNgqTADMr1IT93T/7EUxOU31YqhRsO5tHJIDxn9UPi5W1Y6hM0Tv0nbOv4uw52lDf2trCmTPU\nU9G1HGPUKaWAzeapjuNAyqxP39AZXacWzr1GCe71qxv48leolOT4ncfR5wTXtQS2t6kkIRg0sLdJ\n71wun8eA+6QqMSQw307euLGxYcbC9vY2Im5YrpTCeQYQfN817+JgEBjLldF6Kw2FCxffMMftsIr7\n/BvnDYU3OTmJUok2XTu7Wwg4i65WK8izOafjOMPm3DnHqEu//o1vYnJy0hzfHtNcFgBWjyzg0oXz\n4AuD6U4CCcn1rG+cv4qrVyjJdWQOx1ZorToyex8kiMp0/Sk4OUpwZucX0GxTQtfvd7C6SONEhzHq\nbMQb5CpYLjONm88hxzUYjudAcw1omHQRsiFtL+ojzKx2uil69fEbHR/SfIdxGIdxGIdxGIdxGG8j\nfjqQqRFTTQgxYtivUWA1yb2PPojpRdrZ1+am8cp3CfF54/zrYPQQ+UIO21sE9X3hM5/HibvuBABM\nL80Z3xcIMSxAxyjL90O2FgLm+2NtPoSAl6Pd8KsXdvBXn/ozAMDp5So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AjRRvHggpDaVU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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f90338e51d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Subsample the data for more efficient code execution in this exercise\n",
    "num_training = 5000\n",
    "mask = list(range(num_training))\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "num_test = 500\n",
    "mask = list(range(num_test))\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5000, 3072) (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from cs231n.classifiers import KNearestNeighbor\n",
    "\n",
    "# Create a kNN classifier instance. \n",
    "# Remember that training a kNN classifier is a noop: \n",
    "# the Classifier simply remembers the data and does no further processing \n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We would now like to classify the test data with the kNN classifier. Recall that we can break down this process into two steps: \n",
    "\n",
    "1. First we must compute the distances between all test examples and all train examples. \n",
    "2. Given these distances, for each test example we find the k nearest examples and have them vote for the label\n",
    "\n",
    "Lets begin with computing the distance matrix between all training and test examples. For example, if there are **Ntr** training examples and **Nte** test examples, this stage should result in a **Nte x Ntr** matrix where each element (i,j) is the distance between the i-th test and j-th train example.\n",
    "\n",
    "First, open `cs231n/classifiers/k_nearest_neighbor.py` and implement the function `compute_distances_two_loops` that uses a (very inefficient) double loop over all pairs of (test, train) examples and computes the distance matrix one element at a time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(500, 5000)\n"
     ]
    }
   ],
   "source": [
    "# Open cs231n/classifiers/k_nearest_neighbor.py and implement\n",
    "# compute_distances_two_loops.\n",
    "\n",
    "# Test your implementation:\n",
    "dists = classifier.compute_distances_two_loops(X_test)\n",
    "print(dists.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Ojo+PAZicnKTb7bK3t8fe3h5msxmTycSTJ09kH7jdbnK5HKenp4JqpdNpTCYTZ2dnmM1m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\nrVYrMpmM8upICDeZTLpedNG53W4VYBwFMhw9HA6L60Zqvc/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1VcUfx4IcN3LMWVFRgby8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\n0kAWY5IkSQNZjEmSJA30HQ/mhLUUXQK8AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f902de90e50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can visualize the distance matrix: each row is a single test example and\n",
    "# its distances to training examples\n",
    "plt.imshow(dists, interpolation='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Inline Question #1:** Notice the structured patterns in the distance matrix, where some rows or columns are visible brighter. (Note that with the default color scheme black indicates low distances while white indicates high distances.)\n",
    "\n",
    "- What in the data is the cause behind the distinctly bright rows?\n",
    "- What causes the columns?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Your Answer**: *fill this in.*\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 137 / 500 correct => accuracy: 0.274000\n"
     ]
    }
   ],
   "source": [
    "# Now implement the function predict_labels and run the code below:\n",
    "# We use k = 1 (which is Nearest Neighbor).\n",
    "y_test_pred = classifier.predict_labels(dists, k=1)\n",
    "\n",
    "# Compute and print the fraction of correctly predicted examples\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see approximately `27%` accuracy. Now lets try out a larger `k`, say `k = 5`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 139 / 500 correct => accuracy: 0.278000\n"
     ]
    }
   ],
   "source": [
    "y_test_pred = classifier.predict_labels(dists, k=5)\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see a slightly better performance than with `k = 1`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now lets speed up distance matrix computation by using partial vectorization\n",
    "# with one loop. Implement the function compute_distances_one_loop and run the\n",
    "# code below:\n",
    "dists_one = classifier.compute_distances_one_loop(X_test)\n",
    "\n",
    "# To ensure that our vectorized implementation is correct, we make sure that it\n",
    "# agrees with the naive implementation. There are many ways to decide whether\n",
    "# two matrices are similar; one of the simplest is the Frobenius norm. In case\n",
    "# you haven't seen it before, the Frobenius norm of two matrices is the square\n",
    "# root of the squared sum of differences of all elements; in other words, reshape\n",
    "# the matrices into vectors and compute the Euclidean distance between them.\n",
    "difference = np.linalg.norm(dists - dists_one, ord='fro')\n",
    "print('Difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now implement the fully vectorized version inside compute_distances_no_loops\n",
    "# and run the code\n",
    "dists_two = classifier.compute_distances_no_loops(X_test)\n",
    "\n",
    "# check that the distance matrix agrees with the one we computed before:\n",
    "difference = np.linalg.norm(dists - dists_two, ord='fro')\n",
    "print('Difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Two loop version took 28.020806 seconds\n",
      "One loop version took 25.530274 seconds\n",
      "No loop version took 0.143215 seconds\n"
     ]
    }
   ],
   "source": [
    "# Let's compare how fast the implementations are\n",
    "def time_function(f, *args):\n",
    "    \"\"\"\n",
    "    Call a function f with args and return the time (in seconds) that it took to execute.\n",
    "    \"\"\"\n",
    "    import time\n",
    "    tic = time.time()\n",
    "    f(*args)\n",
    "    toc = time.time()\n",
    "    return toc - tic\n",
    "\n",
    "two_loop_time = time_function(classifier.compute_distances_two_loops, X_test)\n",
    "print('Two loop version took %f seconds' % two_loop_time)\n",
    "\n",
    "one_loop_time = time_function(classifier.compute_distances_one_loop, X_test)\n",
    "print('One loop version took %f seconds' % one_loop_time)\n",
    "\n",
    "no_loop_time = time_function(classifier.compute_distances_no_loops, X_test)\n",
    "print('No loop version took %f seconds' % no_loop_time)\n",
    "\n",
    "# you should see significantly faster performance with the fully vectorized implementation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cross-validation\n",
    "\n",
    "We have implemented the k-Nearest Neighbor classifier but we set the value k = 5 arbitrarily. We will now determine the best value of this hyperparameter with cross-validation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k = 1, accuracy = 0.254000\n",
      "k = 1, accuracy = 0.198000\n",
      "k = 1, accuracy = 0.228000\n",
      "k = 1, accuracy = 0.244000\n",
      "k = 1, accuracy = 0.216000\n",
      "k = 3, accuracy = 0.230000\n",
      "k = 3, accuracy = 0.210000\n",
      "k = 3, accuracy = 0.228000\n",
      "k = 3, accuracy = 0.226000\n",
      "k = 3, accuracy = 0.214000\n",
      "k = 5, accuracy = 0.218000\n",
      "k = 5, accuracy = 0.228000\n",
      "k = 5, accuracy = 0.210000\n",
      "k = 5, accuracy = 0.230000\n",
      "k = 5, accuracy = 0.222000\n",
      "k = 8, accuracy = 0.206000\n",
      "k = 8, accuracy = 0.248000\n",
      "k = 8, accuracy = 0.224000\n",
      "k = 8, accuracy = 0.194000\n",
      "k = 8, accuracy = 0.252000\n",
      "k = 10, accuracy = 0.202000\n",
      "k = 10, accuracy = 0.240000\n",
      "k = 10, accuracy = 0.216000\n",
      "k = 10, accuracy = 0.216000\n",
      "k = 10, accuracy = 0.232000\n",
      "k = 12, accuracy = 0.190000\n",
      "k = 12, accuracy = 0.238000\n",
      "k = 12, accuracy = 0.222000\n",
      "k = 12, accuracy = 0.212000\n",
      "k = 12, accuracy = 0.238000\n",
      "k = 15, accuracy = 0.202000\n",
      "k = 15, accuracy = 0.230000\n",
      "k = 15, accuracy = 0.210000\n",
      "k = 15, accuracy = 0.202000\n",
      "k = 15, accuracy = 0.228000\n",
      "k = 20, accuracy = 0.206000\n",
      "k = 20, accuracy = 0.212000\n",
      "k = 20, accuracy = 0.218000\n",
      "k = 20, accuracy = 0.212000\n",
      "k = 20, accuracy = 0.214000\n",
      "k = 50, accuracy = 0.206000\n",
      "k = 50, accuracy = 0.204000\n",
      "k = 50, accuracy = 0.202000\n",
      "k = 50, accuracy = 0.210000\n",
      "k = 50, accuracy = 0.228000\n",
      "k = 100, accuracy = 0.200000\n",
      "k = 100, accuracy = 0.206000\n",
      "k = 100, accuracy = 0.192000\n",
      "k = 100, accuracy = 0.208000\n",
      "k = 100, accuracy = 0.234000\n"
     ]
    }
   ],
   "source": [
    "num_folds = 5\n",
    "k_choices = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100]\n",
    "\n",
    "X_train_folds = []\n",
    "y_train_folds = []\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Split up the training data into folds. After splitting, X_train_folds and    #\n",
    "# y_train_folds should each be lists of length num_folds, where                #\n",
    "# y_train_folds[i] is the label vector for the points in X_train_folds[i].     #\n",
    "# Hint: Look up the numpy array_split function.                                #\n",
    "################################################################################\n",
    "X_train_folds = np.split(X_train,5,axis=0)\n",
    "y_train_folds = np.split(y_train,5,axis=0)\n",
    "################################################################################\n",
    "#                                 END OF YOUR CODE                             #\n",
    "################################################################################\n",
    "\n",
    "# A dictionary holding the accuracies for different values of k that we find\n",
    "# when running cross-validation. After running cross-validation,\n",
    "# k_to_accuracies[k] should be a list of length num_folds giving the different\n",
    "# accuracy values that we found when using that value of k.\n",
    "k_to_accuracies = {}\n",
    "\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Perform k-fold cross validation to find the best value of k. For each        #\n",
    "# possible value of k, run the k-nearest-neighbor algorithm num_folds times,   #\n",
    "# where in each case you use all but one of the folds as training data and the #\n",
    "# last fold as a validation set. Store the accuracies for all fold and all     #\n",
    "# values of k in the k_to_accuracies dictionary.                               #\n",
    "################################################################################\n",
    "for k in k_choices:\n",
    "    accuracies = []\n",
    "    for i in xrange(num_folds):\n",
    "        classifier.train(X_train_folds[i], y_train_folds[i])        \n",
    "        dists_two = classifier.compute_distances_no_loops(X_test)\n",
    "        y_test_pred = classifier.predict_labels(dists_two, k)\n",
    "        num_correct = np.sum(y_test_pred == y_test)\n",
    "        accuracy = float(num_correct) / num_test\n",
    "        accuracies.append(accuracy)\n",
    "    k_to_accuracies[k] = accuracies\n",
    "################################################################################\n",
    "#                                 END OF YOUR CODE                             #\n",
    "################################################################################\n",
    "# Print out the computed accuracies\n",
    "for k in sorted(k_to_accuracies):\n",
    "    for accuracy in k_to_accuracies[k]:\n",
    "        print('k = %d, accuracy = %f' % (k, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
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KhbUkbCqpaFe7iIiISEdRWEvCsH657WoXERER6SgKa0m4fto4cqORRm250QjXTxuXpopE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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f902c0df9d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the raw observations\n",
    "for k in k_choices:\n",
    "    accuracies = k_to_accuracies[k]\n",
    "    plt.scatter([k] * len(accuracies), accuracies)\n",
    "\n",
    "# plot the trend line with error bars that correspond to standard deviation\n",
    "accuracies_mean = np.array([np.mean(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "accuracies_std = np.array([np.std(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "plt.errorbar(k_choices, accuracies_mean, yerr=accuracies_std)\n",
    "plt.title('Cross-validation on k')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('Cross-validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 137 / 500 correct => accuracy: 0.274000\n"
     ]
    }
   ],
   "source": [
    "# Based on the cross-validation results above, choose the best value for k,   \n",
    "# retrain the classifier using all the training data, and test it on the test\n",
    "# data. You should be able to get above 28% accuracy on the test data.\n",
    "best_k = 1\n",
    "\n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)\n",
    "y_test_pred = classifier.predict(X_test, k=best_k)\n",
    "\n",
    "# Compute and display the accuracy\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
